Screen data analyst CVs against the role: SQL and tooling depth, business-impact evidence, red flags, and analyst interview questions.
Data analyst CVs list a lot of tools; screening is about whether the candidate turns data into decisions. Look for evidence of business questions answered, not just dashboards built.
What to look for:
Core querying skill (SQL) with real, not classroom, usage.
Tooling fit (e.g. BI tool, Python/R) for your stack.
Evidence of analysis driving a decision or outcome.
Ability to communicate findings to non-technical stakeholders.
Red flags to probe:
Tool lists with no example of an analysis that mattered.
Only coursework or certifications, no applied work.
No mention of stakeholders or how findings were used.
Technical
Walk me through an analysis from question to recommendation.
How would you investigate a sudden drop in a key metric?
Communication
Tell me about a time your analysis changed a decision.
How do you present uncertainty to a non-technical audience?
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